|
1
|
Garbage classification using deep learning technologyGarbage classification has always been an important issue in environmental protection, resource recycling, and social livelihood. However, garbage classification takes a lot of time and effort.... Author: Ngo Huu-Huy, Bui Tung Van, Le Linh Hung, Nguyen Minh Duy Keyword: Artificial Intelligence; convolutional neural network; deep learning; garbage classification; machine learning.
|
|
2
|
Improving the efficacy of network security based on dimensionality reduction techniquesThis paper focuses on proposing a network intrusion detection model applying fundamental machine learning techniques to enhance early detection of network intrusions (rapid detection of attack... Author: Phuong Hoang Thi Keyword: Network attack DDoS machine learning deep learning dimensionality reduction
|
|
3
|
A systematic review of the application of artificial intelligence techniques in the development of smart wearable device applicationsThe convergence of artificial intelligence (AI) and wearables is ushering in a new paradigm of software development - AI-powered app creation - where AI is not just a feature but a software creation... Author: Dung Nguyen Thi, Nguyen Phuong Thu, Doan Phuong Ngoc Keyword: AI-powered wearable apps TinyML systematic review PRISMA guidelines software development for wearables
|
|
4
|
BiDAF model in sentiment analysis taskSentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading... Author: Huế Lương Thị Minh Keyword: Natural language processing; LSTM; deep learning; machine learning; BiDAF.
|
|
5
|
Overview study of mobile network traffic for BTS stationsIn recent years, Machine Learning (ML) has become a crucial and promising tool for forecasting and solving a wide range of complex problems. The rapid development of machine learning is closely linked... Author: Thuc Hoang Van, Thang Vu Chien, Nam Pham Thanh, Thao Doan Thi Thanh, Ngoc Pham Van, Phuong Mac Thi Keyword: 5G Traffic base station BTS for 5G Network 5G/BTS Traffic 5G Traffic
|
|
6
|
Applying the Autoencoder model for URL phishing detectionIn the era of digital transformation, alongside the rapid devel-opment of the Internet and online applications, phishing at-tacks targeting users through malicious URLs have been in-creasingly... Author: Mai Dang Thi Keyword: URL Phishing detection Autoencoder latent space
|
|
7
|
Artificial Intelligent applications in crop production: a comprehensive reviewGlobal agriculture faces growing challenges from population growth, climate change, and resource scarcity, demanding innovative solutions for food security and sustainability. Artificial Intelligence... Author: Nguyen Mai Thi Thanh Keyword: Machine learning Artificial Intelligence (AI) Crop improvement Precision agriculture Resource optimization Agriculture sustainability.
|
|
8
|
Gradient descent method and parameter selection for image restoration problemImage enhancement is a meaningful problem in many practical applications. It plays an important role in preprocessing steps for recognition and information extraction. Image restoration is often... Author: Dũng Nguyễn Đình Keyword: Image restoration Gradient Descent iterative method convex optimization optimal parameter
|
|
9
|
Machine learning-based prediction of construction cost overruns using Random ForestCost overrun is a common issue in construction projects, significantly affecting investment efficiency and project management. As projects become increasingly complex, developing accurate predictive... Author: Thu Nguyen Minh, Anh Nguyen Vu Minh, Lan Tran Ha, Ha Nguyen Trong Keyword: Construction cost overrun Machine learning Random Forest SHAP Project cost prediction
|
|
10
|
An Empirical Analysis of Code Complexity and Its Impact on Software Defect DensityThis study investigates the relationship between software complexity metrics and defect density using five NASA-PROMISE datasets (JM1, CM1, KC1, KC2, and PC1). Five widely validated complexity... Author: Hien Doan Thi Thuy Keyword: Software defect prediction Software complexity metrics NASA-PROMISE Random Forest SMOTE Feature importance.
|